{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d1ac03e4-cafd-45aa-a555-623d4d9b7f9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "excel_file = pd.ExcelFile('数据.xlsx')\n",
    "df = excel_file.parse('Sheet1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4c6beb8c-d4a2-422b-9cd8-052b81e1e797",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dAAB0dbHKL1rd/Otf/2r0+nzzzZcGDhyYtfKJwH1UzIuwW2eca+OaIFoAn3XWWVkIryAGObbddtssvL/DDjukM844I2uru8oqq4z1YwSg+4nWddHCbvDgwenYY49N99xzT/FvX331VXrnnXea3S+C4qUtbuJ5tL0Js846a/rwww/TLLPMkj744IPigH5pa9pJJpmkXUG85sQ5MlbrR2v5eMR9c7S1LTxKW9aNGjUqqzhbEKH30vN9LHyL9zTXmlYAHoDuJM77MS4dYbVotV7J6jZx3fDYY4+V/f6vv/662Zb2rfnPf/6TPcpRqKILAGOz4lzcB0egLe4l4/42HoWq8q2JSvR77LFHo9eiEt0iiyzS5r5xTxv33XFvHef4uPeOxXTtEWMCn3zySXE77usLQbxYQF5p7rXpSgTxAFIq64Kmsz7/559/ThtttFEaNmxYth2TA9FqNlYBlhP8yxsCBIC84sY+VrnHIHuttmiLQYOYYIiV80888USxsmyIVfcxsBADG1ElLyrSxt+jNV+05ItB/dlmm22shO+ee+65dPPNN2fHGSX/S0W7nbPPPjstueSSWYWA++67L3s9WvPFZMm1115b9WMEoGdYbLHFssB6BPHi/BjnpBlmmKHY1r1UBNaiPW1hlXxU1Yvzamti4iHueVu6740Jg9L3liMmAqLFbTliIqT03H7bbbdlgUEA6Eni/B5V1qMdfYjq8PPPP39aeOGFKzZm3jQgH+f1+G+1FarhFQIIsai92nMEANBULPiKRWkdUejkUioWkQ8aNKjNfWOuOeaP49G7d+/Up0+fdn13dGk57bTTGr0WQbyCptVtS8faC2644Ya09dZbZ8+jKm10m2uqsHAvCOLRlQjiAfy/ie1a9O2336ZNNtkkK/9fWjkgJtRbUzpYMTYGLgCgpdXqUZnt73//e3r77bezYHmtBPGi2uyTTz6ZtX6PkOCrr77abNn9gw8+OAsYxOT9G2+8kdZaa61iGfwYqDjllFOqFsKLAYpY7R/HGAMRcZzxb9pUDFRE8GG11VbLtvv3759OPfXU4t+jakG0/AGASltnnXXS66+/no488sisalxzq95jAP6iiy7KFpTFNUFMCrR3kL+pjlTEAwBaXwwei9PifB0T+1GNNrqyxL3lIYcckr0nwmoxVv3CCy/kPpeHWNgWDwCg/WPbzQXXrrvuumxsuBLn6ZZE9fg///nPY4Trhg8fXtUiMREYhK7CSBVAk0H8WnHrrbemgw46qNEKgihRXDqx3pJyw3cRQIyVf/GIlX/R8idW/s0444y5jh0Awt133509CsqtQlNpQ4YMydrdfPTRR1kgMKralZ5fS8V5MNq47rbbbllwsDBo8PTTT6f111+/GISLdgFRmW7NNdes2HHG50XrvnfffTcL4L300kvF0F9TMZgSKwZ33333tNBCCxVfj0Beaehu6aWXzv43mGKKKSp2nABQKs6J559/fqsr7aNaa6Fia0zq5yWIBwCVERXhzz333Cx8F4vCC6G8Qlv4WJwWE+7XXHNNth33rNtuu212n1na1h0AGLtzyIX74hgnjrHfoUOHZnO9AwYMSCeccEJVvjeqx6+77rpZK9uwzDLLZOPmoXQcuxpFYlSupSsxUgUwFoJ48fntveiIwEDTkMArr7zS7sR/TMa3pwpOXECVhiYAoBxvvfVWuvjii9MVV1wxxt9iAD9a2ER71GhtE1XkomJOtJ8ptJ0prUgXgbmmpe0LgbrS90Q4Pc6x8YhWObE6Px4HHnhgmnvuuRtVtouWrTFQ0NJN/LLLLps222yztOWWW6Zpp5220d9jQmKHHXbIBjIKYrAhquO1xzTTTJOd26PlQHNiFeERRxzRbKn+MNlkk2Xn6WgNFN9dWuI/JkoiPHj11Vc32ueZZ57JWgC2R1TfjQEbAMgjwu+x+CvuYaOFTPw32r3HOatU4bwX/236txALx3755Zf03XffZdcMEeQTxAOAjolJ+lJ77rnnGO+J4N0aa6xR3L700kuzcelY1BaiNX1UuI37fABg7Ir77HPOOae4HWPasfCtcF6OcfC99tprjDHuvKLiXVwffPrpp9l2jE8feuihxS5uLS0oh57ISBVAStmgfkGs8vvb3/6W6/MiBND089vbu37fffdN5513Xq7jAIBqT7Dfd9996bbbbmu2FH5MuO+3335Zu7oIkRUG9COw15r3338/26et90RVneZstdVWjYJ4Mel//fXXZyv0Sqv3rL766lmwLSrdTT311M1O/MdgQunARh7RlrelEF7YfPPN08MPP9zo32f22WfPjnG99dZLK6+8crNl/aOC3qabblqcFMkjAg77779/7s8BgAjgDx48uOz3R8i+rfvmCMZH6F8QDwDKE5PlTz31VLbo+4EHHsju45sT59O4R45WcyussEKjv8X5+Z///GdadNFFs44qsQgszsnVEvekhep81TDHHHOkY445pmqfDwDVdOONN2bdVAqia8pyyy2XzW0PGzYsO1cfd9xx6ZJLLqloCC8Cd++880623bdv36wNbizOLxDEg//PSBXQ48Wq+9IKN4UkfyXFqv72BvHmnHPOtMQSS6QXX3wxq6ATj6goVKge1FoJ3ghFjBo1qngxNO+887b42yNkEJMYcYxxcTbLLLO089cB0BPFivhoi9qaqC53+umnp1oQLVoPOeSQLMgWK/eiAl5pRbmm3njjjbTjjjum5557rvhaVJaLYGFzYbjmXHnllcVBkYknnrjZSgNNxSDJ559/nrXHjeOM83hrLr/88qwCYOkkRewbEyjliHN/VM4tVCOKMOCss85a1r4AEGJCP9rgjM026O0N4hVay8f9dHvvzdsj7sNjYV78t9LVBwCgXFG97uijj87GlT/55JNW3xuT6hGe32ijjdLkk0/e4vvi3jQq7MQ9ZNyDVtOdd97ZYkX7SlhxxRUF8QDostXwTjzxxOJ2zOn269cvmzOOBeXR6SRE5doI18c5rxLVdNdcc82sPX1hjDyq40ZL3NLx9bhGAP4vQTygx2tava4aooVOXJC017333ptN3LcWFGhODPjHJH5hQv2kk05q93cDQGti9XsEuKJ6TcHCCy+cZphhhuxGvCXzzDNPVsEtwuUxER7nuKjCdtlll2Wr6kME0O6///4x9r3hhhuyFX4hBhiielwhVB6PCNbHDX9z1e1C//792/xd0eL2rLPOylYQFkLthe+75ppr0owzzpjK8dprrzUa2I+BkHJaxMY5/NZbb23zfdHido899sjC9wXx73jsscdmEy6tBfZLReXBQggvAoauGQBor2uvvTY98sgj2f1rtJ4vuPDCC7MFX1ENNqrkxqO5yrDLL798tmo/riGeeOKJZs/N8Yj76qhoG+K8X3r+a8suu+yS7rjjjkbhvdgvHnV1dWO8v2mb+Pnnn7/Z9xVCgfGIYyrsF7+lreADAFRL3LfGvWJpF5iCuBePc2pBVIBfYIEFyvrcwj17tRXO99VSzVA+AFRTdFKLBeQFhx9+eHEcOBaBx314LJaLwF4sMh8yZEiu8+q///3vrPvMiBEjsu2457/rrruy6rKh9D65tUVyLd1PF0Tl3rbeA12JIB7Q48VFQ9NB9paUBgCiQt1nn31W1WMbmxUFAKA9YiJ9r732SkcccURabLHFspV4a6+9djrttNNaDeLFJHy0W22q9JwaEwPlKAwyxCR6HE+c08sJu7XklltuyX5PrPIriM+NcNpBBx1Udrit0EqnEBKIyfjYvxKi8t2pp56azj333CzcUBCteK+66qq05JJLlv1ZEYgcMGBAcTv+9ywMogBAueK8/8ILL2Rt7KJSawTzQ7nnpMJgffy33KqseVvTFkL8tbSADwAqJRaEr7POOun222/PtmNie7XVVsuq2sf5eeaZZx4rx/HNN99k1flefvnl9NJLL6Uvv/wym7xvS2lwP6rGx0K5SlTJf/bZZ7PngngAdEVxPo2x64Lpp58+7bzzzsXtWPAeQb211lor237//fez8d4YM+6Iu+++O22wwQbFOfQ4P8e1RZxTm7s3d36F/08QD6BEVNKJNnpRlWeqqabq0GfEhc1ss82WqiVW1ZdbjQcAqilW1cU5KdrY5F2xVlpZr6WKdtUQgwURwDvzzDPT888/3+hvyy23XFbGP6r4RRWdqHL317/+tc3PjAGPhx56qLh98cUXN6oQ1BFffPFFGjhwYPYotNcrhA8i5Hf88cdngy1RJS8GWBZaaKFWPy8qI2y77bbFqn8RfFAND4COnJ8GDx6cPY8J9gizF4J41dTeIF6E9gttaUsr8sa+zQXtowJfVBEobcfXUmv6QjW8QnXeCO2V28YeAKpliy22yCrWxn373nvvneaaa67s9UovLI/J+Y8//jgL2RVEldwI+8Xrpcodb+9IyL49BAUA6GriPjPG4Es7uMR4cNOq89FCduONN0633XZbtn311VdnC7iPOuqodn9nfNYyyyyTnnrqqewe98Ybb8yC/aXiHrh0AX5L4hia+v7779Onn35aPDc3t1AgFpK3ZxEd1ApBPIAm5fVjVV6sGIzy/e2tSPfee++lxRdfPGupF2G+vJPuzV2URNueGEg544wzOvw5cdESnxErJdZbb72KHiMAPUdUh/3zn/9ckc969dVXi88j+FZtERS47rrrsso9H3zwwRjtYaPt7k477ZQFDK+//vps8iLCazHoEG1mWxIt9Q455JBGLXw7eq6Nif0I9EXLv3/+85+NKuCFlVdeOQv9RRuh+FtU7Y33RWvbRx99NM0333wtfvZ+++2Xnnnmmex5BBDiuqXa7X8A6H7i/rmwOj4m12O1fEsD+NF+Ngbx//73v5f12REUmG666ZqthtPeIF6E7tsjrg1KF9jdf//9LVbri2Mppz0uAIxNMQm//vrrV+Q+L871MVEe99HvvPNO9ojnEVqP/za9V42gfnNKW+J2ZhAvAvkA0FX88MMP2Tm9tCXt6quvnv7yl780+/5LL700Pffcc9k9eDjmmGOy+9n2juPHOHiMNS+11FJZy9vm7vej+m05Qfc333yz1S50UbE3xrObiuP+8MMP23XcUAsE8QBKVg5cc8012fNoqxOp/ljZX24bugjJbbjhhmnkyJHZqoAoux8T4c2l/DvqsMMOyy44+vfvn1Xl+cc//pGFINojVktEBZxYDRGTJvEZ2223XcWOEQDaKwJuQ4YMKW5Xu5JODERE+7z43lKTTjppOvjgg7MKc4UwfUwonH766cX3xrk4VhpGkK2pOPdvsskmWRWdwu+IQYqOikDfOeecM8brf/rTn7KgYCwcKIgWO1G1L0QlglVXXTU99thjWQWfpuL3XHLJJcXtaCu8yiqrdPg4Aei5CueeEIP6LVWCe+utt7J72Qi7V0Le1rSV8vDDD6fDDz88mzCo9EI8AMijtao0rYnF6XHejlB6dH6JoF0sPi+teFOOGFOfY445svvieCy44IJp/vnn71B3mMIisjz+97//5f4MABjbIsQeY8BPPvlk8bVJJpkk6+LSkimnnDJbgB7jvXHvHIH67bffPvusPffcs13fP8MMM2QhupaC/YWwXygspAME8QAy5557bqPV9dGy5uyzzy47hBdef/31RuX2Y3uJJZbIyv5GQC+vqIYTre0K7rnnnmwSPirhtEf8rptvvrlYGS8q9cTFV7QoAIDO8J///Ccrrx9iEnvppZeu6vfFCrurrroqbbXVVtn25JNPnvbff//sEWG8ppMX0c5nrbXWygJ84YADDsgGH6KybMGLL76YVcQttI2NoHyE3uOaoqOiXW5UGvjXv/6VbUfV3aOPPrrZ64p+/fplAfuNNtoo+7eMKkKxqCAq9JWW9T/hhBOyqkIFW265ZTryyCM7fIwA9Fwxof3ggw8Wt8fmAq/S1jSdFcS78847s2uJCCZEJYKooAsAXV2MP5cG7dsS98yxACzuhQuT8XHPGmPZlQipR/X2eABATxNtWTfffPP00ksvNarqGhXfm2vjWmrFFVdMAwYMKC4mHz16dNprr72yeexYlN2equ6tVdctXVw/NrrcQFdRfsIEoJuKSe6YUC+9oIiQW7R7a48ozfv888+neeedt1GVvGgDENX2Cu16OiIq9DUtMRzleuMiqr2ikk+sfCiI49pnn33Sqaee2uHjA4A8ojpraVn9sdEmJgJoEUKPQHsMQBx77LFjhPAK+vTpkwUNlltuueK5c9ddd80q4IYI3UcQrhDCi2Dfv//970Yt7ToiBkRiEiSuJaLiTlxntBbuj3+7e++9tzg4Er8rKuNFKC+uSSIgURrCi9WUcezRfhcA2isC4IXqODHgvuiii4617+7sinjxu3fbbbfi74+WOueff/5YPw4AqLS111671ao46667brZALFrVReW8COb/97//ze49Syv1qBQLAB0X485xj10awosx3CuvvDJbfF2OfffdNyvoUirmgpdddtms61olxFh0QSU7xEFXpyIe0GPFJHpUgIn2bAUxAR8XDcsss0yHPnOuuebKSuVHSC7CfIXviWp7L7/8cjbZ3drKgeZE6f+YdI/WeKXhgfis9qxYKIh9Lr/88qyt3t///vfi63/961+zCjqxEgIAxpZo5xoD+AU77bTTWPvuCy64oOz3TjzxxFmLnph0ePzxx7NVhBFsi8GP0gGHaLkX1wDRdqcSZpxxxqzVfblitWMcZ0yeRPgu2gjFhEi01o3nBVE5Lyr3tNRCEADaUgikF+5Rx6bODuKNP/74WaWfNddcs3gs0VI+QvtjM5AIAJUW1eBjon/22WdPiy22WFpkkUWK/41Wdy0pXYQe98uVEmMEpdXoO2r33XfPOtgAQC374osv0sEHH5yuueaaRq/HnO4VV1xR7PBSrpj7DRGiL5yro+tL3LcedNBB6cADD0xTTz11h471/vvvz1rZF+7L55xzzg59DnRHgnhAjxSr1nfcccdGE/9RvSYuGqLtWx6x4i8qA8QFTLS8Lbj99tuzVQZ33313myWDC6KSzSqrrJI+/fTT4mtRhjguwDoSwiuIlruXXHJJNqhy6aWXFl8/6aST0qhRo9IZZ5zR4c8GgHLF4HxUkym0l5t11lmzoFutKlTNjUpyEcb79ddfG4XwFlhggew8P8sss3TqcUYIIMJ4MYESYbymkw3Rgjda1cf1AAB0dHKgsPiscJ9ajhEjRmQt12MRWOER56oQlWVjov2HH37IHiNHjqzZIF6IoPsxxxyTLbwLEXqPSZGoWKAKEABdVdzPfvvtt9litPaoVhAvxtGXX3753J/T3t8DAGNTjI8PGjQoC841vReOIHy0jY855o6Iz4xqddEtLe7BC/evp512WjaPHaH3aFs7//zzl/2Z8TkxD146Ht1al5uYk2/q/fffLz5/8803m33PV199VfYxQS0RxAN6nAi3RRWYF198sVH1mmghFxPolRAT2+ecc07q27dv2m+//YqTBFH1J1rYxqT9n/70p1Y/Y/jw4dnA/ocfflh8bZNNNknXXXddRSYaIoQX7e7i4q60JWD//v2z12KCHgCqKVq3RyXZghNOOCFX0LzaIhgf585ov9NUDFZEu/uokNPZIiQY7fEK7fJKFx3EgE60ugWAPGIlfgTSQ1TMKXfAPkJq6623XrN/i9Z2Ub29HLUQxCtUFYjwe+F6JsYChg0blo0FAEBX1ZHQWmn4Lm8Qr5JBPgCoZdEN7aqrrspaxhaqy5VaeeWVs79H15Q8Nt100+w+NcJ40cGtIMaPL7zwwuwRXd9i/vzQQw9NU001Vaud3CI0V7r4u60q+dFVpjWff/55m+8pDf1DrRPEA3qUBx54IP35z39ulKCfaaaZ0kMPPZRdYLQlJgbaIybl4/PjAqQwGf7ZZ5+llVZaKbvQico/LV3ErLHGGundd98tvhbVd6KFXDmTDOUeZ4Txoj1trHwoLXM8YMCAbAW/NrUAtFfpxHicZ1oSlVkjeFcQQfU4R5d7s136PdUU1wyx4vCGG25IjzzyyBjfG8H6CN/369cvdaYhQ4ZklX6jTWBpC9pCKCAqDJ188skdbjUAAAURwBs4cGBxO08122iRPumkk6bJJpss+2/p8/hbaQX3UlHJvRaCeLGAIELucT2w2mqrpZtuuimroAsAtSoq0JZq7b69PUrvlfMG6ap9v19YTAAAneWjjz5Kxx13XLrtttuySrRN9e7dOxs7jza1lepqsuCCC2ZtaWPuNzqjld5Xh3feeSdrgds0hBfn5QjJRVDwqaeeSo8++mijc3VUr23aRr4a51rnb7oSQTygx4jJ+5goLw3hRfjuwQcfLLtVbFxcFEwwwQRl7bP++utnLW9j1f93332XvbbFFlu0GMKLqnlrrrlmVhGvINrT3nLLLa2W9S2Ii6ho41PQ1gVa/D2qDkSLoNLWQjFZv+GGG+Zu1QtA9/bf//43O4/ERHS0qYv27G2dg6LsfZTEL11tHxVf2zpnFVrYhqYDBZUSq++ef/75bFAhAvxRuae5SYRoBXDggQdm1WrHdovXOJ433ngjO864NomqvqVt7AuiOl+EG+M455tvvrF6jAB0X3Hej0mDglhE1pZYXR/XCk1Dd63dV8cCsz59+mTPm7ake+KJJ4rPY6KguX3jEX8rPPJU3f3kk09a/FssYov2tJtttll2Po6FbvGISYLC84UWWqjVigIAMLbuIw877LBGr1cq0F563xznvkp9VlTSj0clVWs8AQDKFUVcYm66uRBeVKWLrmWzzTZbxb83FrxFwG+XXXbJKrzHmHzhvButZpsr0BL30jFOHgvAmxt/jgVpTe/Lm4bmOlrNLubSC53jonogdBWCeECPEav7br/99mxwPEICMRAeFw7TTDNNs++PC4e77747u8CIm/OoTvfss88W/z7LLLOU/d0rrLBC9l0xQREhu2hr11LAYKuttmoUwouJ/jvvvDNb/dBUBPsKqxa+//77bNC/NCwYyql8EwMuN998cxb4i5Y6ccF09dVXC+EB0KY4nxaCa00tssgijbZjQnyPPfZI11577RiB8Ghr15bSlXbtGdiPwYRvvvkm+644Z8b5MwLoMakejzjHv/nmm1k5/Wgn19pARVxHRLBtiSWWSJUW1XPjEdcsEaqPgZgIN8YxRuDh7bffLh5na9Vvp59++rTnnntm/9ZTTjllxY8TgJ4rzksxWF8Q59amIbnmRIX39orKcvFdUXEuzn+vvfZadv6Oe9a4vy6YY445mm2du++++45x3xuL28qp/NN0kiDu6dtS+u/SVIxBtNSSFwCqKcLiMc4b97pNA2iTTDJJxSb5S+/R8wbxql0RTxAPgM4W96URNI9wWczzFuaDIyS36qqrVv37Y447rg+iKt9FF12UnnzyyXT66ae3+P7DDz98jCDeYostlo3rR6W9vB3mylHoPAddgSAe0KPEoHu0bTvyyCPTscceW1xd35wVV1wxWxEQAbfmbL755u367mi5FyG5+eefv8XKOTExEBMKUUUvKvDERUxUqYsV9s2JwZJYCVDaVrZUfE851QkKqxYiqLjyyiun888/f6xc6AHQPQYNDjnkkKwyXOn5Z6eddkq77bZb8bWYNN92220btV0PF1xwQdp0003L+q7SlXTtGTiPY4zvaBpWL0eE06PVXATwolJsa9cOeUV5/0UXXbRDq/sifLfxxhtnvzOuYfJU/QGAlkSwPRZwxUKumCSfe+65swp31RJhvLh2iOuFlu5jY7FbOWLhW2l1XQDoCWJsuLmKcnGfPGDAgLI6sLT3fj1vEK/0njjGqOOePK+ozvvxxx9nzwXxAKgVJ510UlZkJcbS4157bJtzzjnTWWedVdZi/JirjuuGuLaIVrStzT9XI4hX2g0Oap0gHtDjRGW5GGRoS1TK23HHHbNQWtP9995777T77ru3+7ubVgZqzgwzzJC1so3wQqz8j3Y9rYn2fqWlgwuixU/8zr59+5Z9fPGbozWuyXsA2mOZZZbJwuQROo8w+dZbbz1G2/cotx+Vac4888yswlsM+ke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      "text/plain": [
       "<Figure size 3000x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as mcolors\n",
    "\n",
    "platform_counts = df['platform'].value_counts()\n",
    "plt.rcParams['figure.dpi'] = 300\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "ax.set_facecolor('black')\n",
    "\n",
    "cmap = mcolors.LinearSegmentedColormap.from_list('my_cmap', ['lightblue', 'darkblue'])\n",
    "for i, (platform, count) in enumerate(platform_counts.items()):\n",
    "    gradient_colors = [cmap(j) for j in np.linspace(0, 1, 100)]\n",
    "\n",
    "    for k in range(100):\n",
    "        bottom = k / 100 * count\n",
    "        top = (k + 1) / 100 * count\n",
    "        color = gradient_colors[k]\n",
    "        ax.bar(platform, top - bottom, bottom=bottom, color=color, width=0.3)\n",
    "\n",
    "    height = count\n",
    "    plt.text(i, height, str(height), ha='center', va='bottom', color='white')\n",
    "\n",
    "plt.title('不同平台的统计数量')\n",
    "plt.xlabel('平台')\n",
    "plt.ylabel('数量')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "1d5f27d8-c58c-4910-a819-25815c9af3c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3000x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as mcolors\n",
    "import numpy as np\n",
    "\n",
    "platform_counts = df['platform'].value_counts()\n",
    "plt.rcParams['figure.dpi'] = 300\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "ax.set_facecolor('black')\n",
    "\n",
    "# 计算平均值\n",
    "mean_value = platform_counts.mean()\n",
    "\n",
    "cmap = mcolors.LinearSegmentedColormap.from_list('my_cmap', ['lightblue', 'darkblue'])\n",
    "for i, (platform, count) in enumerate(platform_counts.items()):\n",
    "    gradient_colors = [cmap(j) for j in np.linspace(0, 1, 100)]\n",
    "\n",
    "    for k in range(100):\n",
    "        bottom = k / 100 * count\n",
    "        top = (k + 1) / 100 * count\n",
    "        color = gradient_colors[k]\n",
    "        ax.bar(platform, top - bottom, bottom=bottom, color=color, width=0.3)\n",
    "\n",
    "    height = count\n",
    "    plt.text(i, height, str(height), ha='center', va='bottom', color='white')\n",
    "\n",
    "# 添加水平均线\n",
    "plt.axhline(y=mean_value, color='pink', linestyle='-', linewidth=2, label=f'平均值: {mean_value:.2f}')\n",
    "\n",
    "# 添加图例\n",
    "plt.legend()\n",
    "\n",
    "plt.title('不同平台的统计数量')\n",
    "plt.xlabel('平台')\n",
    "plt.ylabel('数量')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "6f860323-ce16-4e7a-acb9-4e07c85b0c07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3000x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as mcolors\n",
    "import numpy as np\n",
    "\n",
    "platform_counts = df['platform'].value_counts()\n",
    "plt.rcParams['figure.dpi'] = 300\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "ax.set_facecolor('black')\n",
    "\n",
    "colors = ['#FF6B6B', '#4ECDC4', '#45B7D1', '#96CEB4', '#FFEAA7', '#DDA0DD']\n",
    "\n",
    "for i, (platform, count) in enumerate(platform_counts.items()):\n",
    "    color = colors[i % len(colors)]\n",
    "    ax.bar(platform, count, color=color, width=0.3)\n",
    "    \n",
    "    height = count\n",
    "    plt.annotate(str(height), \n",
    "                xy=(i, height),\n",
    "                xytext=(i, height + platform_counts.max() * 0.05),\n",
    "                ha='center', va='bottom',\n",
    "                fontsize=10, color='black', fontweight='bold',\n",
    "                bbox=dict(boxstyle=\"round,pad=0.3\", facecolor='white', alpha=0.8),\n",
    "                arrowprops=dict(arrowstyle='->', color='white', lw=1))\n",
    "\n",
    "ax.set_ylim(0, platform_counts.max() * 1.15)\n",
    "plt.title('不同平台的统计数量')\n",
    "plt.xlabel('平台')\n",
    "plt.ylabel('数量')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "638a00c4-add4-4863-95c7-7e901fd4e645",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024年各平台订单数量: {'淘宝': np.int64(38), '天猫': np.int64(30), '京东': np.int64(38), '抖音': np.int64(36), '拼多多': np.int64(36)}\n",
      "2025年各平台订单数量: {'淘宝': np.int64(163), '天猫': np.int64(152), '京东': np.int64(172), '抖音': np.int64(165), '拼多多': np.int64(170)}\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "总计:\n",
      "2024年总订单数: 178\n",
      "2025年总订单数: 822\n",
      "总订单数: 1000\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "df['order_year'] = pd.to_datetime(df['order_time']).dt.year\n",
    "\n",
    "\n",
    "platform_2024 = df[df['order_year'] == 2024]['platform'].value_counts()\n",
    "platform_2025 = df[df['order_year'] == 2025]['platform'].value_counts()\n",
    "\n",
    "platforms = ['淘宝', '天猫', '京东', '抖音', '拼多多']\n",
    "data_2024 = [platform_2024.get(platform, 0) for platform in platforms]\n",
    "data_2025 = [platform_2025.get(platform, 0) for platform in platforms]\n",
    "\n",
    "print(\"2024年各平台订单数量:\", dict(zip(platforms, data_2024)))\n",
    "print(\"2025年各平台订单数量:\", dict(zip(platforms, data_2025)))\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(14, 8))\n",
    "\n",
    "y_pos = np.arange(len(platforms))\n",
    "\n",
    "bars_left = ax.barh(y_pos, data_2024, height=0.6, color='#3498db', \n",
    "                   label='2024年', alpha=0.8)\n",
    "\n",
    "bars_right = ax.barh(y_pos, [-x for x in data_2025], height=0.6, \n",
    "                    color='#e74c3c', label='2025年', alpha=0.8)\n",
    "\n",
    "ax.set_yticks(y_pos)\n",
    "ax.set_yticklabels(platforms, fontsize=12, fontweight='bold')\n",
    "\n",
    "# 设置x轴范围\n",
    "max_value = max(max(data_2024), max(data_2025)) * 1.1\n",
    "ax.set_xlim(-max_value, max_value)\n",
    "\n",
    "ax.set_xticks([])\n",
    "\n",
    "# 添加中间分隔线\n",
    "ax.axvline(x=0, color='black', linewidth=1, alpha=0.5)\n",
    "\n",
    "# 添加数据标签\n",
    "for i, (bar_left, bar_right, val_2024, val_2025) in enumerate(zip(bars_left, bars_right, data_2024, data_2025)):\n",
    "    # 2024年数据标签\n",
    "    ax.text(bar_left.get_width() - 1, bar_left.get_y() + bar_left.get_height()/2, \n",
    "            f'{val_2024}', ha='right', va='center', fontsize=11, fontweight='bold', color='white')\n",
    "    \n",
    "    # 2025年数据标签\n",
    "    ax.text(bar_right.get_width() + 1, bar_right.get_y() + bar_right.get_height()/2, \n",
    "            f'{val_2025}', ha='left', va='center', fontsize=11, fontweight='bold', color='white')\n",
    "\n",
    "ax.text(0.98, 0.95, '2024年', transform=ax.transAxes, fontsize=12, \n",
    "        fontweight='bold', color='#3498db', ha='left')\n",
    "ax.text(0.01, 0.95, '2025年', transform=ax.transAxes, fontsize=12, \n",
    "        fontweight='bold', color='#e74c3c', ha='right')\n",
    "\n",
    "ax.set_title('各平台2024年与2025年订单数量对比', fontsize=16, fontweight='bold', pad=20)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "print(f\"\\n总计:\")\n",
    "print(f\"2024年总订单数: {sum(data_2024)}\")\n",
    "print(f\"2025年总订单数: {sum(data_2025)}\")\n",
    "print(f\"总订单数: {sum(data_2024) + sum(data_2025)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "26f40c0b-8173-4449-8bf9-91ea268aadd5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "各平台增长率:\n",
      "淘宝: 38 → 163 (+328.9%)\n",
      "天猫: 30 → 152 (+406.7%)\n",
      "京东: 38 → 172 (+352.6%)\n",
      "抖音: 36 → 165 (+358.3%)\n",
      "拼多多: 36 → 170 (+372.2%)\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "总结:\n",
      "总订单数: 178 → 822 (+361.8%)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "platforms = ['淘宝', '天猫', '京东', '抖音', '拼多多']\n",
    "\n",
    "data_2024 = [platform_2024.get(platform, 0) for platform in platforms]\n",
    "data_2025 = [platform_2025.get(platform, 0) for platform in platforms]\n",
    "\n",
    "\n",
    "growth_rates = []\n",
    "for i in range(len(platforms)):\n",
    "    if data_2024[i] > 0: \n",
    "        growth = ((data_2025[i] - data_2024[i]) / data_2024[i]) * 100\n",
    "    else:\n",
    "        growth = 0 if data_2025[i] == 0 else 100 \n",
    "    growth_rates.append(growth)\n",
    "\n",
    "print(\"各平台增长率:\")\n",
    "for platform, rate, val_2024, val_2025 in zip(platforms, growth_rates, data_2024, data_2025):\n",
    "    print(f\"{platform}: {val_2024} → {val_2025} ({rate:+.1f}%)\")\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 8))\n",
    "y_pos = np.arange(len(platforms))\n",
    "\n",
    "max_growth = max(max(growth_rates), abs(min(growth_rates))) if growth_rates else 1\n",
    "\n",
    "for i, (platform, rate, val_2024, val_2025) in enumerate(zip(platforms, growth_rates, data_2024, data_2025)):\n",
    "    actual_width = abs(rate) / max_growth * 100 if max_growth > 0 else 0\n",
    "    \n",
    "    ax.barh(i, 100, height=0.6, color='lightgray', alpha=0.3)\n",
    "    \n",
    "    if rate >= 0:\n",
    "        bar = ax.barh(i, actual_width, height=0.6, color='#e74c3c', alpha=0.8) \n",
    "        color = '#e74c3c'\n",
    "    else:\n",
    "        bar = ax.barh(i, actual_width, height=0.6, color='#3498db', alpha=0.8)\n",
    "        color = '#3498db'\n",
    "    \n",
    "    ax.text(actual_width + 3, i, f'{rate:+.1f}%', \n",
    "            ha='left', va='center', fontsize=11, fontweight='bold', color=color)\n",
    "    \n",
    "    ax.text(-5, i, f'{val_2024}→{val_2025}', \n",
    "            ha='right', va='center', fontsize=10, color='gray')\n",
    "\n",
    "ax.set_yticks(y_pos)\n",
    "ax.set_yticklabels(platforms, fontsize=12, fontweight='bold')\n",
    "\n",
    "ax.set_xlim(-20, 110)\n",
    "ax.set_xlabel('增长率 (%)', fontsize=12)\n",
    "ax.axvline(x=0, color='black', linewidth=0.5, alpha=0.5)\n",
    "\n",
    "ax.set_title('各平台2025年相比2024年订单增长率', fontsize=16, fontweight='bold', pad=20)\n",
    "\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.grid(axis='x', alpha=0.3, linestyle='--')\n",
    "\n",
    "ax.text(0.02, 0.98, '红色: 增长 | 蓝色: 下降', transform=ax.transAxes, \n",
    "        fontsize=10, bbox=dict(boxstyle=\"round,pad=0.3\", facecolor=\"white\", alpha=0.8))\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 输出总结\n",
    "print(f\"\\n总结:\")\n",
    "total_2024 = sum(data_2024)\n",
    "total_2025 = sum(data_2025)\n",
    "total_growth = ((total_2025 - total_2024) / total_2024) * 100\n",
    "print(f\"总订单数: {total_2024} → {total_2025} ({total_growth:+.1f}%)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "6077427a-1631-4c6e-aca9-51721fc06aca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "各平台详细数据:\n",
      "平台\t2024年\t2025年\t增长量\t增长率\n",
      "淘宝\t38\t163\t+125\t+328.9%\n",
      "天猫\t30\t152\t+122\t+406.7%\n",
      "京东\t38\t172\t+134\t+352.6%\n",
      "抖音\t36\t165\t+129\t+358.3%\n",
      "拼多多\t36\t170\t+134\t+372.2%\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "platforms = ['淘宝', '天猫', '京东', '抖音', '拼多多']\n",
    "data_2024 = [platform_2024.get(platform, 0) for platform in platforms]\n",
    "data_2025 = [platform_2025.get(platform, 0) for platform in platforms]\n",
    "\n",
    "# 计算差异\n",
    "differences = [data_2025[i] - data_2024[i] for i in range(len(platforms))]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "x_pos = np.arange(len(platforms))\n",
    "bar_width = 0.35\n",
    "\n",
    "bars_2024 = ax.bar(x_pos - bar_width/2, data_2024, bar_width, \n",
    "                   label='2024年', color='#3498db', alpha=0.8)\n",
    "bars_2025 = ax.bar(x_pos + bar_width/2, data_2025, bar_width, \n",
    "                   label='2025年', color='#e74c3c', alpha=0.8)\n",
    "\n",
    "for i, (diff, x) in enumerate(zip(differences, x_pos)):\n",
    "    start_y = data_2024[i]\n",
    "    end_y = data_2025[i]\n",
    "    \n",
    "    if diff != 0:\n",
    "        ax.annotate('', xy=(x, end_y), xytext=(x, start_y),\n",
    "                    arrowprops=dict(arrowstyle='->', color='#27ae60' if diff > 0 else '#e74c3c', \n",
    "                                   lw=2, alpha=0.8))\n",
    "    \n",
    "    if diff != 0:\n",
    "        ax.text(x + bar_width/2 - 0.1, (start_y + end_y) / 2, \n",
    "                f'+{diff}' if diff > 0 else f'{diff}', \n",
    "                ha='left', va='center', fontsize=10, fontweight='bold',\n",
    "                color='#27ae60' if diff > 0 else '#e74c3c', \n",
    "                bbox=dict(boxstyle=\"round,pad=0.3\", facecolor='white', alpha=0.8))\n",
    "\n",
    "ax.set_xticks(x_pos)\n",
    "ax.set_xticklabels(platforms, fontsize=12, fontweight='bold')\n",
    "\n",
    "# 设置y轴\n",
    "ax.set_ylabel('订单数量', fontsize=12)\n",
    "ax.set_ylim(0, max(data_2025) * 1.15)\n",
    "\n",
    "# 在柱子上方显示数值\n",
    "for bars in [bars_2024, bars_2025]:\n",
    "    for bar in bars:\n",
    "        height = bar.get_height()\n",
    "        ax.text(bar.get_x() + bar.get_width()/2., height + 0.5,\n",
    "                f'{int(height)}', ha='center', va='bottom', fontsize=10, fontweight='bold')\n",
    "\n",
    "ax.set_title('各平台2024年与2025年订单数量对比', fontsize=14, fontweight='bold', pad=20)\n",
    "ax.legend(loc='upper left')\n",
    "\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.grid(axis='y', alpha=0.3, linestyle='--')\n",
    "\n",
    "total_2024 = sum(data_2024)\n",
    "total_2025 = sum(data_2025)\n",
    "total_growth = total_2025 - total_2024\n",
    "growth_rate = (total_growth / total_2024) * 100\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "print(\"各平台详细数据:\")\n",
    "print(\"平台\\t2024年\\t2025年\\t增长量\\t增长率\")\n",
    "for i, platform in enumerate(platforms):\n",
    "    growth_rate_platform = (differences[i] / data_2024[i]) * 100 if data_2024[i] > 0 else 0\n",
    "    print(f\"{platform}\\t{data_2024[i]}\\t{data_2025[i]}\\t{'+' + str(differences[i]) if differences[i] > 0 else differences[i]}\\t{growth_rate_platform:+.1f}%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a6644eeb-44ba-42ef-a212-e4ef74121685",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "platforms = ['淘宝', '天猫', '京东', '抖音', '拼多多']\n",
    "data_2024 = [platform_2024.get(platform, 0) for platform in platforms]\n",
    "data_2025 = [platform_2025.get(platform, 0) for platform in platforms]\n",
    "\n",
    "growth_rates = []\n",
    "for i in range(len(platforms)):\n",
    "    if data_2024[i] > 0:\n",
    "        growth = ((data_2025[i] - data_2024[i]) / data_2024[i]) * 100\n",
    "    else:\n",
    "        growth = 0 if data_2025[i] == 0 else 100\n",
    "    growth_rates.append(growth)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "\n",
    "x_pos = np.arange(len(platforms))\n",
    "\n",
    "for i, (platform, rate) in enumerate(zip(platforms, growth_rates)):\n",
    "\n",
    "    ax.plot([x_pos[i], x_pos[i]], [0, rate], \n",
    "            color='#e74c3c', linewidth=3, alpha=0.8)\n",
    "    \n",
    "    ax.scatter(x_pos[i], rate, marker='D', s=150,  \n",
    "              color='#e74c3c', edgecolor='white', linewidth=2, zorder=5)\n",
    "\n",
    "    ax.text(x_pos[i], rate + 10,\n",
    "            f'{rate:.1f}%', \n",
    "            ha='center', va='bottom', fontsize=12, fontweight='bold',\n",
    "            color='#e74c3c',\n",
    "            )\n",
    "\n",
    "ax.set_xticks(x_pos)\n",
    "ax.set_xticklabels(platforms, fontsize=12, fontweight='bold')\n",
    "\n",
    "ax.set_ylabel('增长率 (%)', fontsize=12)\n",
    "ax.set_ylim(0, max(growth_rates) * 1.2)  \n",
    "\n",
    "ax.axhline(y=0, color='black', linewidth=0.8, alpha=0.5)\n",
    "\n",
    "ax.set_title('各平台2025年相比2024年订单增长率', fontsize=14, fontweight='bold', pad=20)\n",
    "\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.grid(axis='y', alpha=0.3, linestyle='--')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "93b54ae6-bafb-4956-a035-cd536a616504",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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T50mdyM0dGU6fPl3OOOMMmTVrVrqngw7UTR599FHZsmVLuqeCDiI7O0+c3xyqfmEcd9xx8sknn8iPf/xjufDCC6Vv377pnhb2ktnZZ58t48ePl3A4LDU1NXLDDTfIwQcfLB6PJ93TQwrkpje3c845x8rJnCdLSkrkoYcekqKionRPDXvA8aYTuenEeVInjjedyM0dGZpi7cknnywjR46U733ve/L//t//kxkzZqR7athLbkcffbSsXr1afv7zn1u/94qLi9M9LbQD2bXmb2MMDv6Fce6558qpp54q119/vfVK7cUXXyy9e/dO9/Swh8zMq+v33HOPNTZ48GBr/Pvf/74ccsghPGFzIHJzT24FBQXi9/vlgQcekMLCwnRPEW3geNOJ3HTiPKkTx5tO5OaeDKdOnSrf/va3rTGzcOrSSy+VP/zhD3LSSSele4rYQ27nnXeetUL6jjvusMa/8IUv8HvO4ciubay0VfYL4+6777bGjjnmGPnss8/klltuYcWtgzObNm2a3HXXXdbYN77xDdm4caO1msU8STOFd/PKO0/YnIPc3JPbt771LVm3bp3s2rVLhg0bZrWVyeRf9k7E8aYTuenEeVInjjedyM2dGZqWMpFIRA477DBrBeCDDz5orcCFs+smJsOtW7fKD3/4Q2vle6av2nQqskuNnraKfmEkdl7zC8M8uX7iiSfkhRdekKefflp27NiR7qnif8xbn8466yw56qijbL/kN2/eLM8//7w89thjEggE5L777pMPPviA3lYOQW56czO/xM3baFrmZv4wMufHt956y8rwm9/8plRVVaV7uvgfjjedyE0nzpM6cbzpRG7uaUlo3t3aMkPzApfJ76qrrpLbbrvNOmfOnj073dPFXuomY8aMkZ/97Gfy+OOPy7PPPmvlCGchu70wK23hTLW1tfHx48fH77rrruaxyy67LH7OOec03543b1582rRp8fvuuy++Y8eONM0ULV1zzTVxj8daxN6c2bnnnmu7z2effRb3+XzxL33pS/HFixfHY7FYGmaKlshNp0svvTSel5dnu52c2yeffGJle8kll8R37dqVhlkiGcebTuSmE+dJnTjedCI3/f76179aGa5evbr5nNny728jFArFc3Nz40OGDIm/9NJLaZopEmpqauKTJ0/eY93kP//5T3z69OnxRx55hN9zDkJ2e0d7BAdbuHChTJkyxVoFcfrppze/wvfMM88036ehoUGGDx9uvdXGvM3tggsuoFWCA5hXiQYOHGhd4MO8cvTXv/61+WumqbZpqG16s2zatMm6OuKNN95o9bZCepGbPiYLsxLioIMOss6DO3fulL/85S+23EwvcLPK7L///a91fvztb38reXl51uoW3paYPhxvOpGbPiaLU045RcaNG9fh8yTSi+NNJ3LTz6yEvvPOO2XSpElWL2JzJfuENWvWyGmnnSbXXnutdU41PYoTrRJ4bpker732mpx44okyd+5cq4+0qZuYd4784x//aL5PfX29laU5Nk2P4kx+u72TkF07tKOwizRIvOL673//O15cXBw/9NBD4xdeeKHtPmvWrIkfdNBB8d/85jfWq7RHH310/Oc//3k8EomkadYIh8PN/3/qqafGCwsLbV9fu3atldk999zT/CrtSSedFL/88st7fK7Yrampqfn/yU2fqqqq+BFHHGGteGhp3bp1Vm533323dbuhoSE+duzY+HXXXZemmWauVKuION70MDkkkJue462ystL6zHlSF443ncjNXcyqPrPids6cOa0yvPfee5vHfvzjH8dLS0t512ua/elPf4qXlJTEjznmmD3WTV577TWrbvLwww9bvy9Z6Z5+ZLdnFG0dyuyA0WjU+v8333zT2okfffTRPf7CMG/lGDp0aPzjjz9Oy5wzUfKJIvm2+QPptNNOs/5/69atVmY/+9nPbPf92te+Zo1XV1f32Lyxm3mLRcsn2Qa5OV95ebktN5PDxIkTrbcaGtu3b7flljifmj+MTL51dXVpmnnmaXlefOihh6w/alqOcbzpfIGL3Jyp5bFlWmclirEG50nn4vmkTnsrGJCbHok8kgtBDz74oLWA6qOPPrIWRpmsfvrTn9peGPvud78bHzZsmJUxel7LvJ555hmrHZBZ+LanuokpAI4ZM8YqCCJ9yK59KNoqKdy+/PLL1qu1f/nLX6xf6sk7b0VFRfzOO++MFxQUxNevX5/GWWcm84q56b1i/tDZuHGj7WumR8uUKVPihxxySPyBBx6w5Tt37tz4jBkz4osWLUrDrDPbpk2b4ldeeWV86tSp1qt6ZrVRS+TmXG+99Vb8qKOOis+aNctWRDIF+IMPPthatTJhwoT4/fffb8tt9uzZVp5LlixJ08wz+8nY9ddfH8/Pz49v2LDBut0yu0mTJnG8OXil0RNPPNHmO0rIzbnH27e+9S1rhVi/fv1szws5TzqbycOcK6+44gqeTypbJWZWW1511VXxTz/91PY1ctNxzty8ebP1d3diQUDL5yjmb27zN/agQYPiv/3tb22PYY7TCy64gAwdlOXjjz8eLyoqir/xxhvNdZOWhXbze/D222+3ivHJ51n0/Atd5lhLjJNd2yjaOsxTTz3V/AdtcuH2n//8p/UE3BRv//CHP9j+nXnbm3mysHTp0h6fc6a75ZZbrJXQ5g+kI488Mj5ixAjbK60mP/NKu3m7YULLFham4I6eZ4rsxx13XPyFF16If+UrX4mPGzfOOo4ST9LIzbnML/EBAwZYRQdzXmxsbLStwDV/IB122GFt5rZly5Yeny8+LyCZJ1jmYkdt4Xhzpvr6eutCEGaFdKrczLFGbs5yww03WM9LzEra//u//4s/+eSTtoI750lnuvnmm+P9+/e3Pp9xxhlWoY/nJc73gx/8wLoYlVm4YV5QzsnJiX/wwQfNXyc35zMrZU125513Xvzqq6+2LhSXnJP5O3v48OHWMWkk/j5PtJWBswqCv//97626Sd++fa3/bynxu5EXJ9OXz7vvvhtfsGCBtYgq8fwk8XWya42ircOUlZVZfTrMq31tFW6fe+4565W+ZcuWtfplQi/b9BSPjj322Ph///vf5j90TA+rxMqVRDHpww8/tF5hT/zhZGRKDxYnMq/SmT9YE8eZeXuFKeAmvzXN5GZWJJGbc5hzoTmuTLHBvDXmpptusgq3priU+Lp5W415AcW8SpvIq+WTa/Qsc340T7xef/116/arr75qvW3bvEW05YuUnCedyWRlCkjmfGlWEt12223WaszEH7XmLaPmRS9ycwZzTgwGg/Hly5dbt2+99dbmdggtmfOkeb7JedIZzLnQFPZWrFhh3TbHl8mH5yXOZs6Lxx9/vG3RzCWXXGJdi8RcET2B32/ONW/ePOsdCWbV8zvvvBP/xS9+YS0MMOMtrVq1Kn7uuee2aieD9Pjd737X5gvKLY8r804h8w6vRGGwZa2k5buG0PMvLJvVtOaFLPOCV6K1Z8t8yM7O256LlaH7mQK6MWzYMHn//fdl5syZsnXrVmvMXIHS6/Va9zn99NPlkksukV/+8pfS0NBgjSf4fL60zT9TRSIRKS8vl40bN1q3+/fvb2X46quvWreDwaD1ecSIETJhwgSZP39+87/lyqLpY46l7du3ywcffGDd7tOnjyxcuFCuvvpqueCCC+Sjjz6yxocMGUJuDmPOeea4MlddPumkk6wrM//tb3+Td955x/r65s2b5eijj7b+/7333mvOq+W5Ej1r1KhRMnHiRFm3bp11ZXrze+yll16SZ599Vg488MDm86U53saPH8/x5jCjR4+Wzz77TF555RW599575c0335TrrrtOfv7zn8uyZctkzJgx1tW1yS39zPPCXr16Wb/bDjjgAGvslltukfXr11tXZ25p8uTJEovFOE86RCAQsJ6XLF++3LptrkhvcrzhhhvksMMOs44/kxfPJ533fNKcB1esWNE89rWvfU2i0ah8+umn1m1yczaTj3kuefDBB8sRRxwhN954o3zve9+TL37xi/L6668332/kyJHW77snn3zSus35Mr2qqqrkW9/6lvzhD3+wjZvjKlFX+cpXviLnnnuu/OQnP5FQKGTLLCsrq8fnDJF///vf8tRTT8m7774rf/3rX+Xkk0+Wr3/961aeppZFdm3jbOMQiV/cffv2lZdfflkGDRokxxxzTHPhNnEfszNPnTrVevJdV1fHL/w0M38c/eAHP5DBgwc3n2RMUX3Dhg1WPuFw2BrLy8uT0047Tf7xj39YRSWkV3Fxsfz5z3+Wfv36Wbn985//tJ5MmxzNMWUKEObJtvmjidycJXGcZWdnW38kffe735X999/fyvDUU0+VH/3oR9bxZoq6Jrfq6up0TznjDRgwQH76059afwidccYZ8qc//ckqQJhi0Te/+U1rbO3atdbxZgq6HG/OcsIJJ1gvUP7qV7+SL3/5y1bR9he/+IWsWbPGytE8eT7llFPIzQFycnLk1ltvtQoLphBhPsy50vx+S7wYacbMedS8yPylL32J86RDmOf/1157rdx///1Wof3QQw+1irWmcHTsscdan81zf55POi8389xjyZIlsnr1amvMnBsXLVokf/nLX6zbpthgcuP3mzOZ5/7m77a///3vzWPmuYl5fnnhhRfKvHnzmsevueYaqampaV70gfQpLCyUsrIyufLKK63zZkuJ+oh5MczUTUzx3byQQt0k/cyLk2Yhx7hx42Ts2LFy8cUXWy8479ixw/o62bWNoq3DmJV+Zkf+z3/+Y606Mk/UEoVb80TbuOiii6wn5omVZUgv80ePeWKdOJmYJ2arVq2yihDmhNPU1GS9Cm9eoTUrzswY0m/69OnWqj6T2znnnGMVIswqMvPq39lnn229smeOOfNkjtycI3GcmT9gzauyhlkRYQqAb7/9tkyZMsUaGz58uPj9ft6B4BDmWDNFP7NK2qw4Svw+u+uuu6zfeb/5zW+sQpJ5wZLjzXnMedBkYooOhlkZYV5YNqt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      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "月度销售额统计 (万元):\n",
      "月份\t2024年\t2025年\t增长率\n",
      "1月\t0\t5\t+0.0%\n",
      "2月\t0\t4\t+0.0%\n",
      "3月\t0\t5\t+0.0%\n",
      "4月\t0\t5\t+0.0%\n",
      "5月\t0\t6\t+0.0%\n",
      "6月\t0\t4\t+0.0%\n",
      "7月\t0\t5\t+0.0%\n",
      "8月\t0\t5\t+0.0%\n",
      "9月\t0\t4\t+0.0%\n",
      "10月\t0\t4\t+753.7%\n",
      "11月\t4\t0\t-100.0%\n",
      "12月\t5\t0\t-100.0%\n",
      "\n",
      "总计:\t9\t47\t+401.9%\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "df['order_month'] = pd.to_datetime(df['order_time']).dt.month\n",
    "df['order_year'] = pd.to_datetime(df['order_time']).dt.year\n",
    "monthly_2024 = df[df['order_year'] == 2024].groupby('order_month')['paid_amount'].sum()\n",
    "monthly_2025 = df[df['order_year'] == 2025].groupby('order_month')['paid_amount'].sum()\n",
    "\n",
    "months = ['1月', '2月', '3月', '4月', '5月', '6月', \n",
    "          '7月', '8月', '9月', '10月', '11月', '12月']\n",
    "\n",
    "data_2024 = [monthly_2024.get(month, 0) / 10000 for month in range(1, 13)]\n",
    "data_2025 = [monthly_2025.get(month, 0) / 10000 for month in range(1, 13)]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(14, 8))\n",
    "\n",
    "line_2024 = ax.plot(months, data_2024, marker='o', linewidth=3, \n",
    "                   label='2024年', color='#3498db', markersize=8)\n",
    "\n",
    "line_2025 = ax.plot(months, data_2025, marker='s', linewidth=3, \n",
    "                   label='2025年', color='#e74c3c', markersize=8)\n",
    "\n",
    "ax.set_title('2024年与2025年月度销售趋势对比', fontsize=16, fontweight='bold', pad=20)\n",
    "ax.set_xlabel('月份', fontsize=12)\n",
    "ax.set_ylabel('销售额 (万元)', fontsize=12)\n",
    "\n",
    "ax.legend(loc='upper left', fontsize=12)\n",
    "\n",
    "for i, (month, val_2024, val_2025) in enumerate(zip(months, data_2024, data_2025)):\n",
    "    if i % 3 == 0:  \n",
    "        ax.text(i, val_2024 + 2, f'{val_2024:.0f}', ha='center', va='bottom', \n",
    "                fontsize=9, color='#3498db', fontweight='bold')\n",
    "        ax.text(i, val_2025 + 2, f'{val_2025:.0f}', ha='center', va='bottom', \n",
    "                fontsize=9, color='#e74c3c', fontweight='bold')\n",
    "\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.grid(True, alpha=0.3, linestyle='--')\n",
    "\n",
    "ax.set_ylim(min(min(data_2024), min(data_2025)) * 0.9, \n",
    "           max(max(data_2024), max(data_2025)) * 1.1)\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 打印统计信息\n",
    "print(\"月度销售额统计 (万元):\")\n",
    "print(\"月份\\t2024年\\t2025年\\t增长率\")\n",
    "for i, month in enumerate(months):\n",
    "    growth = ((data_2025[i] - data_2024[i]) / data_2024[i] * 100) if data_2024[i] > 0 else 0\n",
    "    print(f\"{month}\\t{data_2024[i]:.0f}\\t{data_2025[i]:.0f}\\t{growth:+.1f}%\")\n",
    "\n",
    "total_2024 = sum(data_2024)\n",
    "total_2025 = sum(data_2025)\n",
    "total_growth = ((total_2025 - total_2024) / total_2024) * 100\n",
    "print(f\"\\n总计:\\t{total_2024:.0f}\\t{total_2025:.0f}\\t{total_growth:+.1f}%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "fe2471a7-5eb7-4807-8af4-33f5a66d0291",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "销售目标完成情况:\n",
      "目标销售额: 100万元\n",
      "实际销售额: 55.94万元\n",
      "完成率: 55.9%\n",
      "差额: 44.06万元\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib.patches import Wedge\n",
    "import pandas as pd\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "total_sales = df['paid_amount'].sum()\n",
    "\n",
    "sales_target = 1000000 \n",
    "completion_rate = min(100, (total_sales / sales_target) * 100)\n",
    "fig, ax = plt.subplots(figsize=(6, 5))\n",
    "\n",
    "center = (0.5, 0.5)\n",
    "radius = 0.4\n",
    "width = 0.1\n",
    "start_angle = 90\n",
    "\n",
    "end_angle = start_angle + (completion_rate / 100) * 360\n",
    "\n",
    "from matplotlib.colors import LinearSegmentedColormap\n",
    "colors = ['#ff6b6b', '#ffa726', '#4ecdc4', '#45b7d1', '#96ceb4']\n",
    "cmap = LinearSegmentedColormap.from_list('progress_gradient', colors, N=100)\n",
    "\n",
    "background_wedge = Wedge(center, radius, 0, 360, width=width, \n",
    "                        color='lightgray', alpha=0.3)\n",
    "ax.add_patch(background_wedge)\n",
    "\n",
    "segments = 100\n",
    "for i in range(segments):\n",
    "    segment_start = start_angle + (i / segments) * (end_angle - start_angle)\n",
    "    segment_end = start_angle + ((i + 1) / segments) * (end_angle - start_angle)\n",
    "    \n",
    "    if segment_end > end_angle:\n",
    "        segment_end = end_angle\n",
    "    color_ratio = i / segments\n",
    "    color = cmap(color_ratio)\n",
    "    \n",
    "    segment_wedge = Wedge(center, radius, segment_start, segment_end, \n",
    "                         width=width, color=color, alpha=0.9)\n",
    "    ax.add_patch(segment_wedge)\n",
    "\n",
    "ax.text(0.5, 0.5, f'{completion_rate:.1f}%', \n",
    "        ha='center', va='center', fontsize=36, fontweight='bold',\n",
    "        color='#2c3e50')\n",
    "\n",
    "ax.text(0.5, 0.4, '销售目标完成度', \n",
    "        ha='center', va='center', fontsize=16, fontweight='bold',\n",
    "        color='#34495e')\n",
    "\n",
    "ax.set_xlim(0, 1)\n",
    "ax.set_ylim(0, 1)\n",
    "ax.set_aspect('equal')\n",
    "ax.axis('off') \n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 打印详细信息\n",
    "print(f\"销售目标完成情况:\")\n",
    "print(f\"目标销售额: {sales_target/10000:.0f}万元\")\n",
    "print(f\"实际销售额: {total_sales/10000:.2f}万元\")\n",
    "print(f\"完成率: {completion_rate:.1f}%\")\n",
    "print(f\"差额: {abs(total_sales - sales_target)/10000:.2f}万元\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "3218b87a-6e3a-43a1-a84d-0a96dd59f34e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib.patches import Circle, Rectangle\n",
    "from matplotlib.path import Path\n",
    "import matplotlib.patches as patches\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "completion_rate = min(100, (total_sales / sales_target) * 100)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(5, 5))\n",
    "\n",
    "center = (0.5, 0.5)\n",
    "radius = 0.35\n",
    "border_width = 0.01\n",
    "\n",
    "fill_height = radius * 2 * (completion_rate / 100) \n",
    "fill_bottom = center[1] - radius \n",
    "fill_top = fill_bottom + fill_height \n",
    "\n",
    "outer_circle = Circle(center, radius + border_width, color='#3498db', \n",
    "                     fill=False, linewidth=8, alpha=0.5)\n",
    "ax.add_patch(outer_circle)\n",
    "\n",
    "background_circle = Circle(center, radius, color='lightgray', alpha=0.2)\n",
    "ax.add_patch(background_circle)\n",
    "\n",
    "from matplotlib.patches import Ellipse\n",
    "\n",
    "fill_rect = Rectangle((center[0] - radius, fill_bottom), \n",
    "                     radius * 2, fill_height, \n",
    "                     color='#3498db', alpha=0.8)\n",
    "ax.add_patch(fill_rect)\n",
    "\n",
    "clip_circle = Circle(center, radius, transform=ax.transData)\n",
    "fill_rect.set_clip_path(clip_circle)\n",
    "\n",
    "ax.text(0.5, 0.55, f'{completion_rate:.1f}%', \n",
    "        ha='center', va='center', fontsize=42, fontweight='bold',\n",
    "        color='#2c3e50')\n",
    "\n",
    "ax.text(0.5, 0.45, '销售目标完成度', \n",
    "        ha='center', va='center', fontsize=18, fontweight='bold',\n",
    "        color='#34495e')\n",
    "\n",
    "ax.set_xlim(0, 1)\n",
    "ax.set_ylim(0, 1)\n",
    "ax.set_aspect('equal')\n",
    "ax.axis('off')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "287ce7a9-4799-4d54-86fe-abbd045f6621",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "各平台销售额统计:\n",
      "天猫: 10.21万元\n",
      "淘宝: 10.62万元\n",
      "抖音: 10.95万元\n",
      "拼多多: 11.31万元\n",
      "京东: 12.85万元\n",
      "\n",
      "总销售额: 55.94万元\n",
      "平均销售额: 11.19万元\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from scipy import interpolate\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "platforms = ['淘宝', '天猫', '京东', '抖音', '拼多多']\n",
    "platform_sales = []\n",
    "\n",
    "for platform in platforms:\n",
    "    platform_data = df[df['platform'] == platform]\n",
    "    total_sales = platform_data['paid_amount'].sum() / 10000 \n",
    "    platform_sales.append(total_sales)\n",
    "\n",
    "# 排序平台按销售额从低到高\n",
    "sorted_indices = np.argsort(platform_sales)\n",
    "x = np.array(range(len(platforms)))\n",
    "y = np.array([platform_sales[i] for i in sorted_indices])\n",
    "platform_labels = [platforms[i] for i in sorted_indices]\n",
    "\n",
    "# 创建平滑曲线\n",
    "x_smooth = np.linspace(x.min(), x.max(), 300)\n",
    "f = interpolate.interp1d(x, y, kind='cubic')\n",
    "y_smooth = f(x_smooth)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "\n",
    "# 绘制平滑趋势线\n",
    "ax.plot(x_smooth, y_smooth, linewidth=3, color='#3498db', alpha=0.8, \n",
    "        label='销售趋势')\n",
    "\n",
    "# 绘制数据点\n",
    "ax.scatter(x, y, color='#e74c3c', s=80, zorder=5, \n",
    "          label='平台销售额', edgecolors='white', linewidth=2)\n",
    "\n",
    "# 添加数据标签\n",
    "for i, (platform, sales) in enumerate(zip(platform_labels, y)):\n",
    "    ax.text(i, sales + 0.5, f'{sales:.1f}万', \n",
    "            ha='center', va='bottom', fontsize=10, fontweight='bold',\n",
    "            bbox=dict(boxstyle=\"round,pad=0.3\", facecolor=\"white\", alpha=0.8))\n",
    "\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(platform_labels, fontsize=12, fontweight='bold')\n",
    "ax.set_xlabel('电商平台', fontsize=12)\n",
    "ax.set_ylabel('销售额 (万元)', fontsize=12)\n",
    "ax.set_title('各电商平台销售额分布趋势', fontsize=14, fontweight='bold', pad=20)\n",
    "\n",
    "ax.legend(loc='upper left', fontsize=12)\n",
    "\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.grid(True, alpha=0.3, linestyle='--')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 打印统计信息\n",
    "print(\"各平台销售额统计:\")\n",
    "for platform, sales in zip(platform_labels, y):\n",
    "    print(f\"{platform}: {sales:.2f}万元\")\n",
    "print(f\"\\n总销售额: {sum(y):.2f}万元\")\n",
    "print(f\"平均销售额: {np.mean(y):.2f}万元\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a58994d0-7266-4bf9-bb27-50cd603f5a02",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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